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整合p53相关基因和透免疫细胞特征作为多发性骨髓瘤的预后生物标志物

Jun-Ting Lv¹, Yu-Tian Jiao², Xin-Le Han³

¹Zhuhai Hospital of Integrated Traditional Chinese & Western Medicine, 519000, China.

|May 3, 2024

概括

这项研究引入了一个新的分类器,将p53基因和瘤透免疫细胞 (TIC) 集成为多发性骨髓瘤 (MM) 预后. 该p53-TIC分类器准确预测患者的结果和免疫治疗的潜在反应.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
遗传学遗传学是一个

背景情况:

多发性骨髓瘤 (MM) 的进展是由遗传异常和免疫失调驱动的.
目前的患者分层模型不充分整合分子和免疫特征,以有效管理MM.

研究的目的:

通过整合与p53相关的基因表达和瘤透免疫细胞 (TIC) 来开发和验证MM的新型预后分类器.
改善患者分层,以获得更精确的MM治疗策略.

主要方法:

来自MMRF CoMMpass数据库的776MM样本的分析.
使用LASSO和CIBERSORT的单变体回归来识别预后性p53基因和免疫细胞.
通过使用引导式多码码,内部交叉验证和外部验证 (GSE136337) 构建和验证了一个p53-TIC分类器.

主要成果:

在MM中,p53-TIC分类器表现出强大的预后性能.
患有p53^低/TIC^高的患者有最有利的预后和最低的瘤突变负担 (TMB).
患有p53^高/TIC^低的患者表现出最不有利的预后,最高的TMB,并预测对抗PD1/抗CTLA4疗法的反应率更高 (40%).

结论:

对p53相关基因和TIC的综合分析为预测MM预后和指导临床决策提供了潜力.
了解基因变化和免疫功能障碍之间的相互作用对于开发有效的MM治疗至关重要.
进一步的研究可能会为MM患者改善治疗策略.

关键词:

免疫检查站免疫检查站免疫微观环境免疫微观环境多发性骨髓瘤 (MM) 是一种多发性骨髓瘤.分层模型的分层模型.p53 信号通道的信号通道

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